- Introduce LLM-driven decision-making across various agents, allowing for dynamic adjustments based on real-time analysis. - Implement new event types for LLM thinking, decisions, actions, and observations to enrich the event streaming experience. - Update agent task responses to include additional metrics for better tracking of task progress and outcomes. - Refactor UI components to highlight LLM-related events and improve user interaction during audits. - Enhance API endpoints to support new event structures and improve overall error handling. |
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|---|---|---|
| .. | ||
| __init__.py | ||
| agent_tasks.py | ||
| auth.py | ||
| config.py | ||
| database.py | ||
| embedding_config.py | ||
| members.py | ||
| projects.py | ||
| prompts.py | ||
| rules.py | ||
| scan.py | ||
| tasks.py | ||
| users.py | ||